‘ Diagnostics and real-time decision-making ’ and ‘ 5g and manufacturing ’.
CONTROL & AUTOMATION INDUSTRIAL AUTOMATION
ANALOG
‘ Diagnostics and real-time decision-making ’ and ‘ 5g and manufacturing ’.
Comments from Fiona Treacy , Managing Director , Industrial Automation
Diagnostics and Real- Time Decision-Making “ With advanced diagnostics , factories are collecting richer data , which helps improve realtime decision-making and allows operations to run smoothly . A significant part of this is driven by the health and status information gathered from IoT devices at the Intelligent Edge of networks , where data processing and computation are performed closer to the devices and sensors that generate the data . Vibration sensing , predictive algorithms and machine-vision cameras are being used here to help monitor both product quality and machine performance .
“ AI algorithms analyze this data to provide insights that can predict problems like overheating , voltage fluctuations , or mechanical wear . Machine learning constantly improves these models by learning from past data , making interventions more accurate and timely .
“ In practice , AI-driven predictive maintenance enables machines to automatically diagnose and respond to potential issues . These systems can adjust
how the equipment operates to avoid complete shutdowns , keeping things running until a technician can make the
56 PECM Issue 72